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Data Analysis
Statistics/Machine Learning
회의에서 당당하게 : 목록
목차 새로 정리하기 목차 공부 Statistics / Machine Learning
Statistical Cognitive bias
- 엉터리 통계를 가려내는 질문 3가지
- 누가 만들었나?
- 왜 만들어졌나?
- 어떻게 만들어졌나?
Visualization
Mind/Application
Limitation
R / Python / SQL
Data
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- Strategy #1: Manual work
- Strategy #2: Narrow the domain (Vertically integrated businesses)
- Strategy #3: Crowdsourcing / Outsourcing(Use cases where quality control can be easily enforced)
- Strategy #4: User-in-the-loop - designing products that provide the right incentives for users to give data back to the system. (Consumer-centric startups with constant user interaction)
- Strategy #5: Side business - by offering photo apps that gather additional image data for their core business.
- Strategy #6: Data trap - Trojan Horse - is a core part of a startup’s business model (not merely a side business).
- Strategy #7: Publicly available datasets
- Strategy #8: License third-party data
- Strategy #9: Collaboration with large corporation
- Strategy #10: Small acquisitions ((Later-stage) startups with enough funding)
Discussion